×
Request Free Sample ×
ReportInfographic

Kindly complete the form below to receive a free sample of this Report

* Please use a valid business email

Leading companies partner with us for data-driven Insights

clients tt-cursor
Hero Background

US Analytics of Things Market

ID: MRFR/ICT/11947-HCR
100 Pages
Garvit Vyas
October 2025

US Analytics of Things Market Research Report Information By Type (Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics), Application (Sales & Customer Management, Predictive Maintenance & Asset Management, Energy Management, Inventory Management, Security & Emergency Management, Building Automation, IT, Remote Monitoring), Component (Software and Services), Vertical (Telecommunications & IT, Manufacturing, Transportation & Logistics, Healthcare & Life Sciences, Retail & E-commerce, Government &... read more

Share:
Download PDF ×

We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

US Analytics of Things Market Infographic
Purchase Options
Compare License
Summary Request for TOC Download PDF

US Analytics of Things Market Summary

As per analysis, the US analytics of things market is projected to grow from USD 11.87 Billion in 2024 to USD 14.77 Billion in 2025, exhibiting a compound annual growth rate (CAGR) of 27.28% during the forecast period (2025 - 2035).

Key Market Trends & Highlights

The US analytics of things market is experiencing robust growth driven by technological advancements and increasing demand for real-time insights.

  • The adoption of IoT devices continues to rise, enhancing data collection and analytics capabilities across various sectors.
  • Manufacturing remains the largest segment, while healthcare is emerging as the fastest-growing sector in the analytics of things market.
  • Predictive maintenance is the largest application area, with asset tracking rapidly gaining traction due to its efficiency benefits.
  • Key market drivers include the growing demand for real-time analytics and the expansion of smart infrastructure, which are shaping the market landscape.

Market Size & Forecast

2024 Market Size 11.87 (USD Billion)
2035 Market Size 168.59 (USD Billion)
CAGR (2025 - 2035) 27.28%

Major Players

IBM (US), Microsoft (US), Google (US), Amazon (US), Cisco (US), Oracle (US), SAP (US), Siemens (US), Intel (US)

US Analytics of Things Market Trends

The US analytics of things market is currently experiencing a transformative phase, driven by the increasing integration of advanced analytics into various sectors. Organizations across industries are recognizing the value of data generated by connected devices, which enables them to derive actionable insights and enhance operational efficiency. This trend is particularly evident in sectors such as manufacturing, healthcare, and transportation, where real-time data analysis is becoming essential for decision-making processes. As businesses strive to remain competitive, the demand for sophisticated analytics solutions continues to rise, fostering innovation and collaboration among technology providers and end-users. Moreover, the regulatory landscape in the United States is evolving to accommodate the growing reliance on data analytics. Government initiatives aimed at promoting data-driven decision-making are likely to further stimulate the US analytics of things market. This environment encourages investment in analytics technologies, as organizations seek to leverage data for improved customer experiences and streamlined operations. The convergence of artificial intelligence and machine learning with analytics tools is also anticipated to play a pivotal role in shaping the future of this market, as these technologies enhance predictive capabilities and facilitate more informed strategic planning.

Increased Adoption of IoT Devices

The proliferation of Internet of Things (IoT) devices across various sectors is driving the demand for analytics solutions. Organizations are increasingly utilizing these devices to collect vast amounts of data, which can be analyzed to optimize processes and improve service delivery. This trend is particularly pronounced in industries such as healthcare, where connected devices monitor patient health, and in manufacturing, where IoT sensors enhance operational efficiency.

Focus on Data Security and Privacy

As the US analytics of things market expands, concerns regarding data security and privacy are becoming more prominent. Organizations are prioritizing the implementation of robust security measures to protect sensitive information collected from connected devices. This focus on safeguarding data is likely to influence the development of analytics solutions, as companies seek to ensure compliance with regulations and build trust with consumers.

Integration of AI and Machine Learning

The integration of artificial intelligence and machine learning into analytics tools is transforming the US analytics of things market. These technologies enable organizations to analyze data more effectively, uncovering patterns and trends that may not be immediately apparent. As businesses increasingly adopt AI-driven analytics, they are likely to enhance their decision-making processes and improve overall operational performance.

Market Segment Insights

By Application: Predictive Maintenance (Largest) vs. Asset Tracking (Fastest-Growing)

In the US analytics of things market, the application segment is primarily dominated by predictive maintenance, which accounts for a significant share of the overall market. This segment is favored due to its ability to reduce downtime and maintenance costs in various industries, particularly manufacturing and transportation. Following closely is asset tracking, which is experiencing rapid adoption as businesses seek to enhance visibility over their assets to streamline operations and improve inventory management. As industries become increasingly digitized, the growth of predictive maintenance is supported by advancements in IoT technology that enable real-time monitoring. Asset tracking, on the other hand, is driven by the rising need for efficiency and accuracy in supply chains. Other applications like supply chain optimization, energy management, and quality control are also growing, but at a comparatively slower rate as they adapt to transforming digital landscapes and operational demands.

Predictive Maintenance (Dominant) vs. Asset Tracking (Emerging)

Predictive maintenance stands out as a dominant force in the analytics of things market, leveraging advanced analytics and IoT technologies to foresee equipment failures before they occur, thereby reducing downtime and associated costs. This application is prevalent in sectors such as manufacturing, transportation, and energy, where operational efficiency is paramount. Companies employing predictive maintenance benefit from enhanced productivity and significant cost reductions by scheduling maintenance intelligently. In contrast, asset tracking is an emerging application that utilizes analytics to ensure accuracy in managing assets throughout the supply chain. It enables organizations to monitor asset locations and conditions in real time, facilitating better decision-making in logistics and inventory management. While predictive maintenance leads in market share, asset tracking is rapidly gaining traction as businesses recognize its critical role in optimizing resource allocation and improving operational efficiencies.

By End Use: Manufacturing (Largest) vs. Healthcare (Fastest-Growing)

In the US analytics of things market, the end-use segment is notably diverse, with manufacturing taking the lead as the largest sector. This segment benefits from the adoption of IoT technologies for enhanced operational efficiency, predictive maintenance, and better resource management. Manufacturing's reliance on data-driven decisions allows for significant optimization of production processes, helping businesses remain competitive. On the other hand, healthcare is emerging as the fastest-growing end-use sector. With increased investment in health technology and a shift towards patient-centric care, IoT and analytics are transforming the way healthcare services are delivered and managed.

Manufacturing (Dominant) vs. Healthcare (Emerging)

The manufacturing sector is characterized by its robust adoption of IoT analytics to streamline operations, reduce downtime, and improve quality control. Large-scale factories utilize analytics to monitor equipment health and optimize supply chains. This sector's focus on efficiency and cost reduction positions it as a dominant player in the analytics of things market. Conversely, the healthcare sector is currently experiencing rapid growth owing to the integration of analytics in telemedicine, remote patient monitoring, and real-time data analysis for improved diagnoses. As healthcare providers harness the insights from patient data, the sector is evolving to offer personalized and effective treatment solutions, making it a significant and emerging area in this market.

By Technology: Internet of Things (Largest) vs. Artificial Intelligence (Fastest-Growing)

In the US analytics of things market, the distribution of market share among the various technologies reveals that the Internet of Things (IoT) leads significantly, providing crucial connectivity and data collection capabilities. IoT’s substantial presence reflects its essential role in shaping consumer and industrial landscapes, while Big Data Analytics complements it with valuable insights derived from vast data sources, securing its place as a strong contender. Meanwhile, Cloud Computing supports these technologies through flexible infrastructures, followed closely by Edge Computing, which enhances data processing capabilities by bringing computation closer to data sources. As growth continues, the market driven by IoT is expected to expand rapidly with the increasing adoption of AI, particularly in sectors such as healthcare and manufacturing. Artificial Intelligence is projected to follow a steep growth trajectory, driven by advancements in machine learning and natural language processing. Likewise, Cloud Computing will see increased demand as businesses look for cost-effective and scalable solutions, whereas Edge Computing emerges as a key player by facilitating real-time data processing in an increasingly connected environment.

Technology: Internet of Things (Dominant) vs. Artificial Intelligence (Emerging)

The Internet of Things (IoT) stands as the dominant force in the US analytics of things market, as it enables the interconnectivity of devices across various sectors, significantly enhancing operational efficiencies and data collection processes. IoT's extensive ecosystem supports smart cities, industrial automation, and consumer devices, allowing for improved decision-making and resource management. In contrast, Artificial Intelligence represents an emerging trend that is poised for rapid growth. Leveraging algorithms and data analytics, AI technologies facilitate predictive analytics and automation, offering substantial value in industries such as finance, healthcare, and supply chain. As organizations increasingly adopt AI solutions to complement IoT frameworks, this synergy is expected to accelerate innovation and reshape operational capabilities across multiple domains.

By Deployment Type: Cloud-Based (Largest) vs. Hybrid (Fastest-Growing)

In the US analytics of things market, the deployment type segment is primarily dominated by cloud-based solutions, which offer significant scalability and flexibility for businesses. On-premises solutions, while still relevant for organizations prioritizing data control and security, hold a smaller market share compared to their cloud counterparts. Hybrid deployments are gaining traction as they combine the best of both worlds, allowing companies to adapt to evolving demands while managing sensitive data effectively. The trend toward cloud-based analytics is driven by the increasing reliance on Internet of Things (IoT) devices, prompting businesses to harness real-time data insights effectively. However, hybrid solutions are emerging rapidly as organizations seek to balance operational efficiency with stringent compliance requirements, further diversifying the landscape of deployment types in this sector.

Cloud-Based (Dominant) vs. Hybrid (Emerging)

Cloud-based deployment solutions dominate the US analytics of things market due to their unmatched scalability, cost-effectiveness, and ease of integration with existing technologies. They enable businesses to leverage vast amounts of data collected from IoT devices without the burden of on-premises infrastructure. In contrast, hybrid deployment solutions are rapidly emerging as companies recognize the need for both agility in cloud computing and the control offered by on-premises systems. This dual approach allows organizations to maintain critical data securely while benefiting from cloud-based analytics capabilities. As a result, both segment values play significant roles in addressing diverse organizational needs, with cloud solutions remaining dominant and hybrid offerings capturing growing interest.

By Data Source: Sensor Data (Largest) vs. Machine Data (Fastest-Growing)

In the US analytics of things market, Sensor Data holds the largest share, emerging as the primary source of insights for various industries. Its ability to gather real-time information from physical devices positions it as an invaluable asset for decision-making processes. Machine Data follows closely, contributing significantly to analytics through the vast amounts of information generated by industrial machines and systems. Meanwhile, User Data and Social Media Data also play critical roles, albeit with comparatively smaller market shares. The growth trends within this segment indicate a robust future for Machine Data, primarily driven by the increasing adoption of IoT devices and smart manufacturing initiatives. As businesses continue to integrate advanced technologies, the demand for Machine Data is expected to surge. Additionally, Sensor Data benefits from advancements in sensor technology and a wider range of applications across various sectors, solidifying its dominant position in the market.

User Data (Dominant) vs. Social Media Data (Emerging)

User Data is currently positioned as a dominant source of analytics in the US market, driven by its ability to offer personalized insights and improve customer experiences. It captures valuable information regarding user behavior, preferences, and interactions, which businesses leverage to enhance their strategies. In contrast, Social Media Data is viewed as an emerging segment, growing rapidly due to the increasing use of social media platforms for consumer engagement and brand awareness. Despite its smaller market share, Social Media Data offers unique insights into market trends and public sentiment, which can significantly influence decision-making processes.

Get more detailed insights about US Analytics of Things Market
Request Free Sample

Key Players and Competitive Insights

The analytics of things market is characterized by a rapidly evolving competitive landscape, driven by advancements in data analytics, IoT integration, and the increasing demand for real-time insights across various sectors. Major players such as IBM (US), Microsoft (US), and Amazon (US) are strategically positioned to leverage their technological prowess and extensive resources. IBM (US) focuses on innovation through its Watson platform, which integrates AI and machine learning to enhance data analytics capabilities. Microsoft (US) emphasizes partnerships and cloud solutions, particularly through Azure, to facilitate seamless data integration and analytics for businesses. Amazon (US), with its robust cloud infrastructure, aims to democratize access to analytics tools, thereby expanding its market reach. Collectively, these strategies foster a competitive environment that prioritizes technological advancement and customer-centric solutions.

Key business tactics within the analytics of things market include localizing manufacturing and optimizing supply chains to enhance operational efficiency. The market structure appears moderately fragmented, with a mix of established players and emerging startups. The influence of key players is substantial, as they not only set industry standards but also drive innovation through competitive practices. This dynamic fosters an environment where agility and responsiveness to market demands are crucial for success.

In November 2025, IBM (US) announced a strategic partnership with a leading automotive manufacturer to develop advanced analytics solutions for predictive maintenance. This collaboration is poised to enhance operational efficiency and reduce downtime, showcasing IBM's commitment to integrating analytics into critical industry applications. The strategic importance of this partnership lies in its potential to position IBM as a leader in the automotive analytics sector, thereby expanding its market footprint.

In October 2025, Microsoft (US) launched a new suite of analytics tools designed specifically for small and medium-sized enterprises (SMEs). This initiative aims to empower SMEs with advanced data analytics capabilities, enabling them to make informed decisions based on real-time data. The significance of this launch is underscored by Microsoft's focus on inclusivity and accessibility, which could potentially reshape the competitive landscape by attracting a new customer base.

In September 2025, Amazon (US) unveiled enhancements to its AWS analytics services, incorporating machine learning algorithms to provide deeper insights into customer behavior. This move is strategically important as it not only strengthens Amazon's position in the cloud analytics market but also aligns with the growing trend of AI integration in business operations. By offering advanced analytics capabilities, Amazon is likely to attract more enterprises seeking to leverage data for competitive advantage.

As of December 2025, current competitive trends in the analytics of things market are heavily influenced by digitalization, sustainability, and AI integration. Strategic alliances among key players are shaping the landscape, fostering innovation and collaboration. The shift from price-based competition to a focus on technological differentiation and supply chain reliability is evident. Companies are increasingly prioritizing innovation and customer-centric solutions, suggesting that future competitive dynamics will hinge on the ability to deliver cutting-edge technology and reliable services.

Key Companies in the US Analytics of Things Market market include

Future Outlook

US Analytics of Things Market Future Outlook

The US analytics of things market is projected to grow at a 27.28% CAGR from 2024 to 2035, driven by advancements in IoT, big data analytics, and AI integration.

New opportunities lie in:

  • Development of predictive maintenance solutions for industrial equipment.
  • Implementation of real-time analytics for smart city infrastructure.
  • Creation of personalized customer insights platforms leveraging IoT data.

By 2035, the analytics of things market is expected to be a cornerstone of data-driven decision-making.

Market Segmentation

US Analytics of Things Market End Use Outlook

  • Manufacturing
  • Transportation
  • Healthcare
  • Retail
  • Energy

US Analytics of Things Market Technology Outlook

  • Internet of Things
  • Big Data Analytics
  • Artificial Intelligence
  • Cloud Computing
  • Edge Computing

US Analytics of Things Market Application Outlook

  • Predictive Maintenance
  • Asset Tracking
  • Supply Chain Optimization
  • Energy Management
  • Quality Control

US Analytics of Things Market Data Source Outlook

  • Sensor Data
  • Machine Data
  • User Data
  • Social Media Data

US Analytics of Things Market Deployment Type Outlook

  • On-Premises
  • Cloud-Based
  • Hybrid

Report Scope

MARKET SIZE 202411.87(USD Billion)
MARKET SIZE 202514.77(USD Billion)
MARKET SIZE 2035168.59(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR)27.28% (2024 - 2035)
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR2024
Market Forecast Period2025 - 2035
Historical Data2019 - 2024
Market Forecast UnitsUSD Billion
Key Companies ProfiledIBM (US), Microsoft (US), Google (US), Amazon (US), Cisco (US), Oracle (US), SAP (US), Siemens (US), Intel (US)
Segments CoveredApplication, End Use, Technology, Deployment Type, Data Source
Key Market OpportunitiesIntegration of artificial intelligence in the US analytics of things market enhances data-driven decision-making.
Key Market DynamicsGrowing demand for real-time data analytics drives innovation and competition in the US analytics of things market.
Countries CoveredUS

Leave a Comment

Download Free Sample

Kindly complete the form below to receive a free sample of this Report

No regional reports available for this market.

No country-specific reports available for this market.

Customer Stories
Case Study
Aerospace & Defense
Future of Dismounted Soldier Systems Market Trends & Adoption Roadmap 2019–2035

Compare Licence

×
Features License Type
Single User Multiuser License Enterprise User
Price $4,950 $5,950 $7,250
Maximum User Access Limit 1 User Upto 10 Users Unrestricted Access Throughout the Organization
Free Customization ✓ ✓ ✓
Direct Access to Analyst ✓ ✓ ✓
Deliverable Format ✓ ✓ ✓
Platform Access ✗ ✗ ✓
Discount on Next Purchase 10% 15% 15%
Printable Versions ✗ ✗ ✓